• DocumentCode
    3141406
  • Title

    Ontological conjunctive query answering over semi-structured KBs

  • Author

    da Silva, Bruno Paiva ; Baget, Jean Francois ; Croitoru, Madalina

  • Author_Institution
    LIRMM, Univ. Montpellier II, Montpellier, France
  • fYear
    2011
  • fDate
    11-16 April 2011
  • Firstpage
    118
  • Lastpage
    123
  • Abstract
    In the context of ontological conjunctive query answering different paradigms for representation and their subsequent manipulation by dedicated reasoning systems have been successfully studied in the past. However, new challenges, problems and issues have appeared in the context of knowledge representation in AI that involve the logical manipulation of increasingly large information sets (see for example the Semantic Web). In this paper we explain these challenges by the means of an example and try to further identify the difficulties ahead of our goal.
  • Keywords
    ontologies (artificial intelligence); query processing; semantic Web; dedicated reasoning system; knowledge representation; logical manipulation; ontological conjunctive query answering; semantic Web; Cognition; Context; Knowledge based systems; Knowledge representation; Relational databases; Semantic Web;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2011 IEEE 27th International Conference on
  • Conference_Location
    Hannover
  • Print_ISBN
    978-1-4244-9195-7
  • Electronic_ISBN
    978-1-4244-9194-0
  • Type

    conf

  • DOI
    10.1109/ICDEW.2011.5767615
  • Filename
    5767615